Derek Lankeaux

08/2023, 12/2023, Ensemble Learning on Wisconsin Breast Cancer Dataset,

Executed graduate-level Capstone Project focused on the utilization of ensemble learning techniques to enhance classification accuracy within the Wisconsin Breast Cancer Dataset without dependency on feature selection or principal component analysis Engaged in an extensive evaluation of classifer performances, uncovering intricate non-linear properties inherent in fine needle aspiration characteristics of breast cancer tumors 05/2023, 07/2023, 

Exploratory Factor Analysis to Identify Latent Factors Underlying Breast Cancer, 

Conducted exploratory factor analysis on the Wisconsin Breast Cancer Dataset, revealing tumor volume complexity defined by key attributes influencing breast cancer progression, such as radius, compactness, concavity, and concave points, alongside secondary factors like smoothness, symmetry, and texture Implemented feature extraction techniques on the Wisconsin Breast Cancer Dataset, isolating primary attributes such as radius and compactness, enhancing data interpretation and providing a more robust foundation for machine learning models